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2 дня назад

Principal Software Development Engineer (Go/AI Security)

206 800 - 310 200$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Principal Software Development Engineer (Go/AI Security): Building low-latency services, APIs, and forward and reverse proxies for a multi-tenant B2B SaaS architecture and self-hosted platform with an accent on dynamic policy enforcement, traffic interception, observability, and AI-assisted development. Focus on designing scalable architectures, optimizing network performance, integrating agentic AI development tools, and leading complex security-focused engineering initiatives.

Location: Field-WA SEA, United States

Annual base pay: $206,800–$310,200

Company

hirify.global develops cybersecurity solutions that help organizations create, secure, and run applications.

What you will do

  • Design and implement low-latency services and public APIs for scalable multi-tenant architectures.
  • Build and optimize forward and reverse proxies for application performance and security.
  • Develop observability, monitoring, and alerting capabilities across services.
  • Use AI development tools, agentic frameworks, and context engineering to accelerate coding, testing, and problem-solving.
  • Lead architectural decisions, mentor junior developers, and guide projects with minimal supervision.
  • Evaluate emerging technologies and improve system architectures and development practices.

Requirements

  • Proven experience developing low-latency applications with Go.
  • Experience with multi-tenant B2B SaaS architectures and forward and reverse proxy development.
  • Proficiency in Python and/or TypeScript, network protocols, monitoring, and observability tools.
  • Hands-on experience with AI development tools and integrating AI assistance into development workflows.
  • Strong project leadership, problem-solving, analytical, communication, and collaboration skills.
  • Knowledge of LLM product concepts such as embeddings, RAG architectures, and prompt engineering is beneficial.

Nice to have

  • Experience with agentic frameworks and context engineering.
  • Experience designing and engineering public APIs.
  • Familiarity with LLMs as a product domain, including embeddings, RAG architectures, and prompt engineering.

Culture & Benefits

  • Inclusive and collaborative work environment.
  • Opportunities to mentor developers and influence architecture.
  • Potential incentive compensation, bonuses, restricted stock units, and benefits.
  • Reasonable accommodations are available during the application process.

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